Welcome to Prof. Shakil Ahmed’s website!
Shakil Ahmed, Ph.D.
Office: Durham 317
613 Morrill Rd., Ames, IA 50011
Phone: +1 515 294 0777
Email: shakil[at]iastate[dot]edu
Google Scholar
Bio: Dr. Shakil Ahmed is an Assistant Professor of Teaching in the Department of Electrical and Computer Engineering at Iowa State. He earned his PhD in Computer Engineering in December 2023 from Iowa State in a record 2 years and 8 months. He also earned an MS in Electrical Engineering from Utah State and a BS in Electrical and Electronic Engineering from Khulna University of Engineering and Technology (KUET), Bangladesh. Dr. Ahmed’s research addresses advanced challenges in the classical and quantum NextGen wireless/networking aspects of diverse domains, including Digital Twin, Tactile Internet, MIMO, RIS, Radio Resource Management, Virtual/Augmented Reality, Human Brain-Computer Interaction (HBCI), PHY/Cybersecurity, and more. To develop algorithms and innovative solutions for networking challenges, Dr. Ahmed extensively leverages advanced techniques such as Reinforcement Learning (RL), Deep RL (DRL), Retrieval-Augmented Generation (RAG), Assembly AI, SHAP and LIME for explainability, various APIs, NS3 for network simulation, federated learning, and advanced AI/ML frameworks. His work also incorporates Quantum Neural Networks (QNN), Neural Networks (NN), Deep Learning, Large Language Models (LLM), Explainable AI (XAI), optimization techniques, stochastic processes, transfer learning, meta-learning, multi-agent systems, and distributed learning. These methodologies enable him to tackle the complexities of modern networking, communication systems, and interdisciplinary challenges. Dr. Ahmed is a Guest Editor at MDPI, Special Issue “Transmission Control Protocol (TCP) in Wireless and Wired Networks.”
Dr. Ahmed’s research thrives at the intersection of multidisciplinary innovation and next-generation networking advancements. He actively collaborates and envisions impactful partnerships across diverse fields, including the Control/Robotics/Biomedical/Circuit Group, College of Veterinary Medicine, Department of Economics, College of Packaging and Medical College. Through these collaborations, Dr. Ahmed aims to revolutionize next-generation networking by advancing next-generation communication systems and fostering transformative solutions that bridge technology with real-world challenges, driving impactful progress across academia, industry, and society.
Beyond his research pursuits, Dr. Ahmed is deeply committed to teaching and takes great joy in guiding undergraduate and graduate students in the dynamic fields of Computer Science and Engineering. He employs innovative pedagogical approaches such as Project-Based Learning (PBL) and Team-Based Learning (TBL) to foster critical thinking, collaboration, and problem-solving skills among his students. Recognizing the transformative potential of generative AI, Dr. Ahmed integrates tools like ChatGPT into his teaching to enhance learning experiences, provide personalized assistance, and support students in exploring complex coding and problem-solving tasks.
Research Interest:
- Next-Generation Wireless Networking, such as 6G and beyond
- AI/ML/GenAI/XAI in Networking
- Quantum Networking
- MIMO/Spectrum Sharing/Radio Resource Management
- Stochastic Processes and Optimization Techniques in Networking
- Emerging Applications in Networking, such as Digital Twin, AR/VR, AGI, HCI
- PHY/Cybersecurity in Networking
- Interdisciplinary research with next-generation networking focus